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An analysis of spatial representativeness of air temperature monitoring stations
Liu, Suhua1,2; Su, Hongbo3; Tian, Jing1; Wang, Weizhen4
2018-05-01
Source PublicationTHEORETICAL AND APPLIED CLIMATOLOGY
ISSN0177-798X
Volume132Issue:3-4Pages:857-865
Corresponding AuthorSu, Hongbo(hongbo@ieee.org) ; Tian, Jing(tianj.04b@igsnrr.ac.cn)
AbstractSurface air temperature is an essential variable for monitoring the atmosphere, and it is generally acquired at meteorological stations that can provide information about only a small area within an r m radius (r-neighborhood) of the station, which is called the representable radius. In studies on a local scale, ground-based observations of surface air temperatures obtained from scattered stations are usually interpolated using a variety of methods without ascertaining their effectiveness. Thus, it is necessary to evaluate the spatial representativeness of ground-based observations of surface air temperature before conducting studies on a local scale. The present study used remote sensing data to estimate the spatial distribution of surface air temperature using the advection-energy balance for air temperature (ADEBAT) model. Two target stations in the study area were selected to conduct an analysis of spatial representativeness. The results showed that one station (AWS 7) had a representable radius of about 400 m with a possible error of less than 1 K, while the other station (AWS 16) had the radius of about 250 m. The representable radius was large when the heterogeneity of land cover around the station was small.
DOI10.1007/s00704-017-2133-6
WOS KeywordCHINA ; MODEL
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41571356] ; National Natural Science Foundation of China[41671354] ; National Natural Science Foundation of China[41671373] ; National Natural Science Foundation of China[41671368] ; National Natural Science Foundation of China[41371348] ; National Key Research and Development Program of China[2016YFA0602501]
Funding OrganizationNational Natural Science Foundation of China ; National Key Research and Development Program of China
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000430539000014
PublisherSPRINGER WIEN
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/57301
Collection中国科学院地理科学与资源研究所
Corresponding AuthorSu, Hongbo; Tian, Jing
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Florida Atlantic Univ, Dept Civil Environm & Geomat Engn, Boca Raton, FL 33431 USA
4.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Gansu, Peoples R China
Recommended Citation
GB/T 7714
Liu, Suhua,Su, Hongbo,Tian, Jing,et al. An analysis of spatial representativeness of air temperature monitoring stations[J]. THEORETICAL AND APPLIED CLIMATOLOGY,2018,132(3-4):857-865.
APA Liu, Suhua,Su, Hongbo,Tian, Jing,&Wang, Weizhen.(2018).An analysis of spatial representativeness of air temperature monitoring stations.THEORETICAL AND APPLIED CLIMATOLOGY,132(3-4),857-865.
MLA Liu, Suhua,et al."An analysis of spatial representativeness of air temperature monitoring stations".THEORETICAL AND APPLIED CLIMATOLOGY 132.3-4(2018):857-865.
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